/install farmdash-autonomous-operator
FarmDash Autonomous Operator
Autonomous Operator keeps a multi-skill agent coherent across turns. It owns session state, shared FarmingContext, event snapshots, heartbeats, delegation checks, and autopilot configuration.
It does not hold private keys. It does not execute swaps or perps directly.
Tools
create_session
Creates a persistent agent session and returns a one-time sessionToken. Store it securely in the agent runtime. FarmDash stores only a hash.
session_heartbeat
Extends the session expiry. Use it during active autonomous loops.
get_farming_context
Reads shared context for the session:
- objective.
- portfolio scope.
- risk settings.
- workflow state.
- ledger summary.
- data freshness timestamps.
patch_farming_context
Patches shared context. The server controls sessionId, agentAddress, revision, and updatedAt; do not try to override them.
get_event_stream_snapshot
Reads recent agent events as a JSON snapshot. Use this before planning and after execution.
verify_delegation
Checks whether the user's Hyperliquid API wallet delegation is in place for autonomous perps.
configure_autopilot and autopilot_cycle
Configure and run bounded autonomous cycles. These cycles must respect user allowlists, risk limits, and execution confirmations.
Control Loop
create_session.get_farming_context.get_event_stream_snapshot.- Use Trail Marshal to plan a workflow.
- Patch objective, risk, workflow, and freshness state with
patch_farming_context. - Run read-only sense tools.
- Present execution steps to the user through the owning execution skill.
session_heartbeat.- After execution, update ledger and freshness state.
Agent Rules
- The session token is a capability. Never display it in normal user-facing prose.
- A context patch is state, not permission.
- A workflow plan is not a user confirmation.
- If risk status is
halted, do not call execution tools. - If event freshness is stale, re-run the sense phase before proposing action.
Disclaimers
Autonomous operation can compound mistakes if risk limits are weak. Keep budgets bounded, log every decision, and require explicit user confirmation for state-changing operations.
Install: Copy this file into your OpenClaw workspace, or fetch https://www.farmdash.one/openclaw-skills/farmdash-autonomous-operator/SKILL.md.
Companion skills: FarmDash Trail Marshal, FarmDash Signal Architect, FarmDash Camp Guard, FarmDash Ledger Keeper.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install farmdash-autonomous-operator - 安装完成后,直接呼叫该 Skill 的名称或使用
/farmdash-autonomous-operator触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
FarmDash Autonomous Operator 是什么?
Session state and control-loop skill for OpenClaw DeFi agents. Manages persistent sessions, FarmingContext, event stream snapshots, heartbeats, delegation ch... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 37 次。
如何安装 FarmDash Autonomous Operator?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install farmdash-autonomous-operator」即可一键安装,无需额外配置。
FarmDash Autonomous Operator 是免费的吗?
是的,FarmDash Autonomous Operator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
FarmDash Autonomous Operator 支持哪些平台?
FarmDash Autonomous Operator 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 FarmDash Autonomous Operator?
由 Parm(@parmasanandgarlic)开发并维护,当前版本 v1.0.1。